• 제목/요약/키워드: Soil vision

검색결과 42건 처리시간 0.025초

비젼시스템을 이용한 토양미생물 관측장비 개발 (Development of Observation Equipment for Soil Microorganisms Using Vision System)

  • 김일배;홍원학;이학성;서명교;서정호
    • 한국환경보건학회지
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    • 제30권2호
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    • pp.108-114
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    • 2004
  • Observation of microorganisms collected from contaminated soils has been mainly conducted by using microscopy. Microscopic measurement is occupied an important part of the microorganism experiment, and is used as an important tool to count microorganisms as well as to observe cellular form and mode of life in the field of soil microbe observation. In general, observation equipments for soil microbes consist of electron microscope, camera, frame grabber (image acquisition baud), and image analysis software. Because image analysis software should be linked with frame grabber most equipments have to be imported as the package form. Therefore, the observation system is very expensive and difficult to be operated. In this study, soil microbes' observation equipment with the vision system which is easy operated and cheaper than imported one was developed and tested. The efficiency of image capturing and data aquisition with developed frame grabber and software in this experiment was good enough to analyze the image of soil microorganism.

국내 화강풍화토의 불포화 특성에 관한 연구 (A Study for Unsaturated-Character of Weathered Granite Soil in Korea)

  • 이형규;이인
    • 한국지반환경공학회 논문집
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    • 제10권3호
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    • pp.13-20
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    • 2009
  • 최근까지 사면, 제방, 댐 등의 안정해석에는 흙의 포화도를 고려하지 않고 포화상태의 시료에서 얻어진 강도정수를 사용하여 왔다. 이는 포화지반의 개념으로 구조물을 설계하는 것이 이론적 접근이 용이하고 안전측 설계가 가능하기 때문이었으며, 불포화토를 연구하기 위해 소요되는 실험적 비용과 시간 등의 어려움이 많았기 때문이다. 하지만 고전적인 포화토질역학의 개념과 원리로는 실제의 불포화 지반에서 발생하는 현상과 거동이 합리적으로 해석되지 않는 많은 공학적 문제들이 인식되면서 최근 들어 지반의 공학 연구 분야에 불포화토에 대한 관심이 증가하고 있다. 최근 들어 많은 연구자들은 흙 구조물을 보다 합리적으로 해석하기 위하여 구조체의 포화도를 고려하는 해석의 필요성을 제기하고 있다. 불포화토의 역학적 성질을 규명하기 위한 가장 기본적인 요소중의 하나가 바로 '함수특성곡선(SWCC)'이다. 흙은 불포화상태로 갈수록, 즉 함수비가 감소할수록, 흙 내부에 음의 간극수압이 작용되는데 이 음의 간극수압인 모관흡수력(suction)과 체적 함수비(volumetric water content)간의 상관관계를 나타내는 곡선이 함수특성곡선이다. 본 연구에서는 실무에 편리하게 쓰일 수 있도록 국내 화강풍화토에 대한 지역별 자료를 제시하며, 이에 대한 검증을 위하여 이론적 고찰과 검증, 실험적 검증을 하였다. 함수특성곡선의 추정에는 Soil Vision Ltd.의 Soil Vision이 사용되었으며, 추정된 함수특성곡선과 실험적인 방법과 이론적인 방법로 얻어진 함수특성곡선을 비교, 검증하였다.

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Application of computer vision for rapid measurement of seed germination

  • Tran, Quoc Huy;Wakholi, Collins;Cho, Byoung-Kwan
    • 한국농업기계학회:학술대회논문집
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    • 한국농업기계학회 2017년도 춘계공동학술대회
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    • pp.154-154
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    • 2017
  • Root is an important organ of plant that typically lies below the surface of the soil. Root surface determines the ability of plants to absorb nutrient and water from the surrounding soil. This study describes an application of image processing and computer vision which was implemented for rapid measurement of seed germination such as root length, surface area, average diameter, branching points of roots. A CCD camera was used to obtain RGB image of seed germination which have been planted by wet paper in a humidity chamber. Temperature was controlled at approximately 250C and 90% relative humidity. Pre-processing techniques such as color space, binarized image by customized threshold, removal noise, dilation, skeleton method were applied to the obtained images for root segmentation. The various morphological parameters of roots were estimated from a root skeleton image with the accuracy of 95% and the speed of within 10 seconds. These results demonstrated the high potential of computer vision technique for the measurement of seed germination.

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입경 분류된 토양의 RGB 영상 분석 및 딥러닝 기법을 활용한 AI 모델 개발 (Development of Deep Learning AI Model and RGB Imagery Analysis Using Pre-sieved Soil)

  • 김동석;송지수;정은지;황현정;박재성
    • 한국농공학회논문집
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    • 제66권4호
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    • pp.27-39
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    • 2024
  • Soil texture is determined by the proportions of sand, silt, and clay within the soil, which influence characteristics such as porosity, water retention capacity, electrical conductivity (EC), and pH. Traditional classification of soil texture requires significant sample preparation including oven drying to remove organic matter and moisture, a process that is both time-consuming and costly. This study aims to explore an alternative method by developing an AI model capable of predicting soil texture from images of pre-sorted soil samples using computer vision and deep learning technologies. Soil samples collected from agricultural fields were pre-processed using sieve analysis and the images of each sample were acquired in a controlled studio environment using a smartphone camera. Color distribution ratios based on RGB values of the images were analyzed using the OpenCV library in Python. A convolutional neural network (CNN) model, built on PyTorch, was enhanced using Digital Image Processing (DIP) techniques and then trained across nine distinct conditions to evaluate its robustness and accuracy. The model has achieved an accuracy of over 80% in classifying the images of pre-sorted soil samples, as validated by the components of the confusion matrix and measurements of the F1 score, demonstrating its potential to replace traditional experimental methods for soil texture classification. By utilizing an easily accessible tool, significant time and cost savings can be expected compared to traditional methods.

해저 집광차량의 위치 추정을 위한 확장 칼만 필터 알고리즘 (Development of an Extended Kalman Filter Algorithm for the Localization of Underwater Mining Vehicles)

  • 원문철;차혁상;홍섭
    • 한국해양공학회지
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    • 제19권2호
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    • pp.82-89
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    • 2005
  • This study deals with the development of the extended Kalman filter(EKF) algorithm for the localization of underwater mining vehicles. Both simulation and experimental studies in a test bed are carried out. For the experiments, a scale dawn tracked vehicle is run in a soil bin containing cohesive soil of bentonite-water mixture. To develop the EKF algorithm, we use a kinematic model including the inner/outer track slips and the slip angle for the vehicle. The measurements include the inner and outer wheel speeds from encoders, the heading angle from a compass sensor and a fiber optic rate gyro, and x and y coordinate position values from a vision system. The vision sensor replaces the LBL(Long Base Line) sonar system used in the real underwater positioning situations. Artificial noise signals mimicking the real LBL noise signal are added to the vision sensor information. To know the mean slip values of the tracks in both straight and cornering maneuver, several trial running experiments are executed before applying the EKF algorithm. Experimental results show the effectiveness of the EKF algorithm in rejecting the sensor measurements noise. Also, the simulation and experimental results show close correlations.

공간분석 기법을 활용한 새만금 농업용지 토양 염도 분석 (The Analysis of Soil Salinity in Saemangeum Agricultural Land using Spatial Analysis Method)

  • 김영주;이근상
    • 한국지리정보학회지
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    • 제22권3호
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    • pp.37-50
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    • 2019
  • 본 연구에서는 GIS 기반 공간보간법을 적용하여 새만금 농업용지의 토양 염도를 분석하였다. 연구 대상지 공시토양은 하해혼성 충적층을 모재로 한 문포통 이었으며 토양 표토(0~20cm)와 심토(20~40cm)로 구분하여 토양 시료를 채취하였다. 먼저 142 지점의 샘플을 이용하여 공간보간에 따른 EC, ESP, SAR의 분포특성을 파악하였으며, 143 지점의 검증점에 대한 오차분석을 통해 EC와 SAR은 IDW 방법 그리고 ESP는 Kriging 보간법을 최적의 보간법으로 선정할 수 있었다. 최적의 보간법을 이용하여 EC, ESP, SAR 염분농도 항목별로 2014년에서 2016년 동안의 토양 염도 변화특성을 분석하였다. 분석 결과 EC, ESP, SAR는 강우발생에 따른 희석효과 등으로 각각 0.26mg/L, 5.97mg/L, 0.73mg/L 만큼 감소한 것으로 분석되었다.

새만금 간척지 토양 염농도의 경시적 변동 특성: 10년 조사 결과 (Annual Changes of Soil Salinity of the Saemangeum Reclaimed Tide Land during Last 10 Years)

  • 류진희;오양열;이수환;이경도;김영주
    • 한국환경농학회지
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    • 제39권4호
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    • pp.327-333
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    • 2020
  • BACKGROUND: Through Saemangeum development project, 283 ㎢ of new land is planned to be created and the reclaimed land of 89.7 ㎢ will be used as agricultural land. Therefore, monitoring of soil salinity is required to evaluate the suitability of the land for agricultural purposes. METHODS AND RESULTS: We investigated changes of soil physico-chemical properties, including electric conductivity (EC), of the Saemangeum reclaimed tidal land (1,195 ha) from 2008 to 2017 to obtain basic data for suitable soil management of the Saemangeum reclaimed tidal land. Soil samples were collected from the sites spaced 200 meters apart from each other. Soil analysis results showed that average soil EC was 14.5 dS m-1 in 2008, and decreased to 6.5 dS m-1 in 2014 and to 0.9 dS m-1 in 2017. Accordingly, the soil area below soil EC 4.7 dS m-1 (accepted as farmable soil salinity) increased; 25.0% in 2008, 54.3% in 2014, and 96.9% in 2017. The annual decrease in soil EC was described as y = -1.5756x + 14.6 (R2= 0.96), where y = soil EC and x = elapsed years since 2008. CONCLUSION: The soil salinity have decreased to a level for cultivation of most edible crops. However, since the soil chemical properties, such as soil organic matter were inadequate for the cultivation of crops, it was suggested that management of soil fertility would be important for efficient agricultural use of Saemangeum reclaimed land.

Targetless displacement measurement of RSW based on monocular vision and feature matching

  • Yong-Soo Ha;Minh-Vuong Pham;Jeongki Lee;Dae-Ho Yun;Yun-Tae Kim
    • Smart Structures and Systems
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    • 제32권4호
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    • pp.207-218
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    • 2023
  • Real-time monitoring of the behavior of reinforced soil retaining wall (RSW) is required for safety checks. In this study, a targetless displacement measurement technology (TDMT) consisting of an image registration module and a displacement calculation module was proposed to monitor the behavior of RSW, in which facing displacement and settlement typically occur. Laboratory and field experiments were conducted to compare the measuring performance of natural target (NT) with the performance of artificial target (AT). Feature count- and location-based performance metrics and displacement calculation performance were analyzed to determine their correlations. The results of laboratory and field experiments showed that the feature location-based performance metric was more relevant to the displacement calculation performance than the feature count-based performance metric. The mean relative errors of the TDMT were less than 1.69 % and 5.50 % for the laboratory and field experiments, respectively. The proposed TDMT can accurately monitor the behavior of RSW for real-time safety checks.

Mechanism of P Solubilization in Vermicompost Treated Red Lateritic Soils

  • Pramanik, Prabhat;Chakraborty, Hritesh;Kim, Pil-Joo
    • 한국환경농학회:학술대회논문집
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    • 한국환경농학회 2011년도 30주년 정기총회 및 국제심포지엄
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    • pp.188-195
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    • 2011
  • Red lateritic soils are typically low in total organic carbon (TOC) and available phosphorus (AP) content and continuous fertilization is required to obtain desired crop yield. In this experiment, cattle manure in three forms (air-dried, composted and vermicomposted) were applied to red lateritic soil to study their effect on TOC and AP content of soil and probable mechanism of P-solubilization as affected by these treatments were also studied. Vermicompost was the most effective to solubilize insoluble P in red lateritic soil (Alfisols) as compared to other organic amendments (air-dried cattle manure and compost). The highest SPA in vermicompost-treated soil attributed to the comparatively higher concentration of all the three SPA isozymes in these soils. The maximum P-solubilization in these soils might be attributed to the highest SPA and presence of several organic acids like citric, lactic and oxalic acids in vermicompost-treated soils. Since, vermicompost application also increased TOC, mineralizable N and exchangeable K content of soil, vermicompost could be considered as the most rational organic amendment to improve chemical properties of red lateritic soils.

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문경지역에서 3차원 지반특성 분석연구 (3 Dimensional Geo-Information at Munkyeong area)

  • 이병주;황재홍;이창원
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 2010년도 추계 학술발표회
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    • pp.423-427
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    • 2010
  • To develope SOC(social overhead capita) which constructs the railroad, highway etc., the geo-technical foundation have to be well understood for the safety works. In this paper, we selected Moonkyung area for the study area, which has various geological units and geological structure including the big thrust and fold. By this reason one of the geo-technical information is the engineering geology map. To make the map, lithology and soil distribution with drilling data are important elements. Three dimensional geo-infomation is established by fence diagram which is several geological cross sections and/or computer software 3D Geomodeller, EarthVision, GSI3D, Gocad.

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